Disha Foods Private Limited | Hyderabad, Telangana

Experience: 3+ Years | Function: AI, Automation & Digital Transformation

Reporting: Senior Management / CEO

1. ROLE OVERVIEW

Disha Foods Private Limited is a growing FMCG organisation engaged in the manufacturing and marketing of biscuits, cookies, wafers, chocolates and confectionery, serving domestic, export, private-label and e-commerce markets.

We are looking for a highly hands-on, entrepreneurial and business-oriented AI leader to drive the company's transition towards an AI-first and automation-led operating model.

The Agentic AI Architect will identify, design, develop and deploy AI-powered solutions across the complete business value chain—from manufacturing and quality to supply chain, sales, marketing, finance, procurement and regulatory compliance.

The role is expected to convert repetitive manual processes, fragmented workflows and data-intensive decisions into intelligent, automated and measurable systems.

Core Mandate

Identify → Automate → Integrate → Measure → Scale The incumbent will own the enterprise AI roadmap, prioritise high-ROI use cases, build AI/automation solutions, integrate them with existing business systems and demonstrate measurable improvements in productivity, cost, quality, speed, compliance and revenue enablement.

2. KEY RESPONSIBILITIES

A. AI STRATEGY & BUSINESS AUTOMATION

- Develop and execute the Disha Foods AI & Automation Roadmap.
- Conduct process audits across all functions and identify automation opportunities.
- Build an AI Automation Opportunity Matrix based on business impact, feasibility, ROI and scalability.
- Lead AI, Generative AI, Machine Learning, AI Agents, RPA, Computer Vision and workflow automation initiatives.
- Establish AI governance, standards, architecture and implementation frameworks.
- Build business cases and ROI models for AI initiatives.
- Create an internal AI Centre of Excellence / AI Transformation Framework.
- Drive adoption of AI across departments through training, change management and implementation support.

3. ENTERPRISE AI AUTOMATION AREAS MANUFACTURING & MACHINERY

Develop AI-enabled manufacturing solutions covering:

- Production planning and scheduling
- Machine monitoring and predictive maintenance
- OEE and downtime analytics
- Production-loss analysis
- Energy optimisation
- Computer-vision-based inspection
- Packaging-line monitoring
- Defect detection
- Automated production reporting
- IoT / PLC / SCADA / MES integration

QUALITY CONTROL & QUALITY ASSURANCE Automate and strengthen QC/QA through:

- AI-assisted quality inspection
- Computer vision
- Batch-quality analytics
- QC checklist automation
- COA/document automation
- Non-conformance identification
- CAPA workflow automation
- Root-cause analysis
- Supplier quality monitoring
- Customer complaint analytics
- HACCP / food-safety monitoring
- Audit-readiness systems

SOP & PROCESS AUTOMATION Build an intelligent AI-powered SOP ecosystem:

- Digital SOPs and checklists
- SOP creation and optimisation
- Process compliance monitoring
- Automated deviation alerts
- Workflow automation
- AI-powered SOP search
- Employee AI assistants
- Audit trails and version control
- Process-performance analytics

Objective: Move from SOP documentation to SOP execution intelligence. SUPPLY CHAIN & WAREHOUSE

Develop AI solutions for





- Demand forecasting
- Inventory optimisation
- SKU-level forecasting
- ROL / ROQ optimisation
- FEFO / FIFO compliance
- Inventory ageing
- Near-expiry alerts
- Slow/non-moving inventory
- Warehouse productivity
- Dispatch optimisation
- Distribution planning
- Stock-out prediction
- Service-level monitoring

SALES & SALES INTELLIGENCE Build an AI-enabled Sales Command Centre covering:

- Sales forecasting
- Territory and SKU analytics
- Distributor performance
- PJP / beat optimisation
- Salesperson productivity
- Target allocation
- Billing and secondary-sales intelligence
- Customer segmentation
- Cross-sell / upsell opportunities
- Territory heatmaps
- Automated sales MIS
- AI-generated management insights

MARKETING & E-COMMERCE AUTOMATION Drive AI-powered:

- Consumer segmentation
- Campaign automation
- Marketing ROI analysis
- Digital marketing optimisation
- Content workflows
- Consumer sentiment analysis
- Competitor intelligence
- Brand analytics
- E-commerce performance monitoring
- ROAS / ACOS optimisation
- SKU performance analytics
- Pricing and promotion intelligence
- Product-review analysis
- Demand and sales forecasting

Applicable across Amazon, Flipkart, Blinkit, D2C and other digital commerce platforms. CRM & CUSTOMER AUTOMATION

Develop intelligent CRM capabilities covering:

- Lead scoring
- Customer segmentation
- Customer lifecycle management
- Automated follow-ups
- Sales-pipeline intelligence
- Customer churn prediction
- Customer-value analytics
- Complaint management
- Customer-service AI assistants
- B2B account intelligence

FINANCE & PROCUREMENT AUTOMATION

Finance

Automate

- Invoice processing
- AP / AR
- Reconciliation
- Expense processing
- Budget monitoring
- Variance analysis
- Cash-flow forecasting
- Collection prioritisation
- Financial MIS
- Anomaly / fraud detection

Procurement

Develop

- Supplier analytics
- Purchase forecasting
- RFQ automation
- Purchase-order workflows
- Spend analytics
- Price intelligence
- Supplier risk monitoring
- Contract monitoring
- Cost-saving analytics

REGULATORY & COMPLIANCE Build intelligent compliance systems covering:

- FSSAI / food-safety documentation
- Regulatory compliance
- Export documentation
- Certification tracking
- Licence / certificate expiry alerts
- Compliance calendars
- Regulatory-change monitoring
- Document extraction and classification
- Audit preparation
- Compliance dashboards and alerts

4. AI COPILOTS & INTELLIGENT AGENTS Develop specialised AI assistants for:

Management | Sales | Marketing | Operations | Finance | Supply Chain | Quality | HR

These AI copilots should provide:

- Real-time business insights
- KPI summaries
- Exception alerts
- Forecasts
- Recommendations
- Automated reports
- Natural-language business intelligence

The long-term objective is to establish an AI-powered Management & Business Command Centre. 5. DATA,



SYSTEMS & TECHNOLOGY INTEGRATION The incumbent will establish a scalable AI/data architecture integrating relevant enterprise systems including:

ERP | CRM | Tally | WMS | Manufacturing Systems | Bizom | E-commerce Platforms | HR Systems | Finance | Procurement | Marketing Platforms | IoT

Required technical exposure

- Python
- SQL
- REST APIs
- Generative AI / LLMs
- Machine Learning
- NLP
- Computer Vision
- Predictive Analytics
- AI Agents / Agentic AI
- RAG architectures
- Vector databases
- Workflow automation
- RPA
- Cloud platforms
- Data pipelines
- BI / analytics platforms

Experience with Zoho, Microsoft, Google, Tally, ERP/WMS/MES and e-commerce ecosystems will be an advantage. 6. CANDIDATE PROFILE

We are looking for an AI engineer who understands business, not merely an AI skilled who builds models.

Essential

- 3+ years of experience in AI/ML, Generative AI, automation, intelligent systems, data science or digital transformation.
- Proven experience deploying AI/automation solutions in real business environments.
- Strong programming and API integration capabilities.
- Ability to translate business problems into technology solutions.
- Experience working with multiple stakeholders and enterprise systems.
- Strong analytical and problem-solving capabilities.
- Entrepreneurial, hands-on and execution-oriented mindset.

Preferred

Experience in

- FMCG
- Food & Beverage
- Manufacturing
- Retail
- E-commerce
- Quick Commerce
- Supply Chain
- Logistics

Knowledge of ISO 22000, HACCP, GMP, FEFO/FIFO and food-industry regulatory processes will be an advantage. 7. KEY BEHAVIOURAL COMPETENCIES

- AI-first mindset
- Business orientation
- Strong ownership
- Systems thinking
- Process orientation
- Innovation mindset
- Commercial orientation
- ROI-driven decision-making
- Cross-functional collaboration
- Strong communication
- Change management
- Project management
- Vendor management
- Ability to work in a fast-paced entrepreneurial environment

The ideal candidate should continuously challenge existing processes by asking: “Why are we doing this manually, and how can AI make it faster, smarter and more reliable?”

9. KEY PERFORMANCE INDICATORS

Success will be measured through tangible business outcomes:

KPI

Expected Outcome

Business Processes Automated

Continuous increase

Manual Hours Eliminated

Measurable reduction

Process Cycle Time

Reduction

Operational Errors

Reduction

AI Adoption

Cross-functional adoption

Automation ROI

Measurable positive ROI

Cost Savings

Documented savings

Revenue Enablement

Measurable contribution

Forecast Accuracy

Continuous improvement

Quality Compliance

Improved adherence

Management Reporting

Faster & automated

AI Projects Delivered

Consistent quarterly delivery

10. WHY THIS ROLE

This is an opportunity to build the AI transformation backbone of a growing Indian FMCG enterprise.

The successful candidate will work across the complete business ecosystem:

Manufacturing → Quality → Supply Chain → Warehouse → Procurement → Sales → Marketing → E-commerce → CRM → Finance → Regulatory → Management The role combines AI Engineering + Business Automation + Digital Transformation + Enterprise Strategy, with direct visibility to senior management and measurable business impact.

Pay: ₹90,000.00 - ₹100,000.00 per month

Work Location: In person

📌 MANAGER – AI ENGINEERING & BUSINESS AUTOMATION (Hyderabad)
🏢 Disha Foods
📍 Hyderabad